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Pricing segmentation and analytics [electronic resource] / Tudor Bodea and Mark Ferguson.

By: Contributor(s): Material type: TextTextPublisher number: 2 | BEPSeries: Marketing strategy collectionPublication details: [New York, N.Y.] (222 East 46th Street, New York, NY 10017) : Business Expert Press, c2012.Edition: 1st edDescription: 1 electronic text (160 p.) : digital fileISBN:
  • 9781606492581 (electronic bk.)
Subject(s): Genre/Form: Additional physical formats: Print version:: No titleDDC classification:
  • 658.816 23
LOC classification:
  • HF5416.5 .B636 2012
Online resources: Available additional physical forms:
  • Also available in print.
Contents:
1. Theory of pricing analytics -- 2. The practice of pricing analytics -- 3. Dynamic pricing and markdown optimization -- 4. Pricing in business-to-business environments -- 5. Customer behavior aspects of pricing -- Appendix A. Dichotomous logistic regression -- Appendix B. Pricing analytics using R -- Notes -- References -- Index.
Abstract: Pricing analytics uses historical sales data with mathematical optimization to set and update prices offered through various channels in order to maximize profit. A familiar example is the passenger airline industry, where a carrier may sell seats on the same flight at many different prices. Pricing analytics practices have transformed the transportation and hospitality industries and are increasingly important in industries as diverse as retail, telecommunications, banking, health care, and manufacturing. The aim of this book is to guide students and professionals on how to identify and exploit pricing opportunities in different business contexts.
Holdings
Item type Current library Call number Status Date due Barcode
Ebook TUS: Midlands, Main Library Athlone Online eBook (Browse shelf(Opens below)) Available

Includes bibliographical references (p. 147-151) and index.

1. Theory of pricing analytics -- 2. The practice of pricing analytics -- 3. Dynamic pricing and markdown optimization -- 4. Pricing in business-to-business environments -- 5. Customer behavior aspects of pricing -- Appendix A. Dichotomous logistic regression -- Appendix B. Pricing analytics using R -- Notes -- References -- Index.

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Pricing analytics uses historical sales data with mathematical optimization to set and update prices offered through various channels in order to maximize profit. A familiar example is the passenger airline industry, where a carrier may sell seats on the same flight at many different prices. Pricing analytics practices have transformed the transportation and hospitality industries and are increasingly important in industries as diverse as retail, telecommunications, banking, health care, and manufacturing. The aim of this book is to guide students and professionals on how to identify and exploit pricing opportunities in different business contexts.

Also available in print.

Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

Title from PDF t.p. (viewed on January 25, 2012).

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